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Mehar's method to find exact fuzzy optimal solution of unbalanced fully fuzzy multi-objective transportation problems

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OPTIMIZATION LETTERS 2012年第8期6卷 1737-1751页

作者： Gupta, Anila Kumar, Amit Kaur, Amarpreet Thapar Univ Sch Math & Comp Applicat Patiala 147004 Punjab India

To the best of our knowledge, till now there is no method described in literature to find exact fuzzy optimal solution of balanced as well as unbalanced fully fuzzy multi-objective transportation problems. In this paper, a new method named as Mehar's method, is proposed to find the exact fuzzy optimal solution of fully fuzzy multi-objective transportation problems (FFMOTP). The advantages of the Mehar's method over existing methods are also discussed. To show the advantages of the proposed method over existing methods, some FFMOTP, which cannot be solved by using any of the existing methods, are solved by using the proposed method and the results obtained are discussed. To illustrate the applicability of the Mehar's method, a real life problem is solved.

关键词： multi-objective linear programming Trapezoidal fuzzy number JMD type trapezoidal fuzzy number Fully fuzzy multi-objective transportation problem

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Integrated manufacturing/distribution planning decisions with multiple imprecise goals in an uncertain environment

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QUALITY & QUANTITY 2012年第1期46卷 137-153页

作者： Liang, Tien-Fu Hsiuping Inst Technol Dept Ind Engn & Management Dali City 412 Taichung Taiwan

This work presents a possibilistic linear programming (PLP) method for solving the integrated manufacturing/distribution planning decision (MDPD) problems with multiple imprecise goals in supply chains under an uncertain environment. The imprecise PLP model designed here aims to simultaneously minimize total net costs and total delivery time with reference to available supply, capacities, labor levels, quota flexibility and cost budget constraints at each source, as well as forecast demand and warehouse space at each destination. The proposed method achieves greater computational efficiency by employing the simplified triangular distribution to represent imprecise numbers. An industrial case is used to demonstrate the feasibility of applying the proposed method to a real MDPD problem. Overall, the proposed PLP method provides a practical means of solving the multi-objective MDPD problems in an uncertain environment, and can effectively improve manufacturer/ distributor relationships in a supply chain.

关键词： Manufacturing/distribution planning decisions Possibilistic linear programming Supply chains Fuzzy set multi-objective linear programming

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A New Queuing Algorithm of Ophthalmic Hospital Beds Arrangement

A New Queuing Algorithm of Ophthalmic Hospital Beds Arrangem...

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International Conference on Materials Science and Information Technology (MSIT 2011)

作者： Hu Ran Hu Jingshuang Wu Ying Qingdao University China Qingdao Technological University China

ISBN: (纸本)9783037853191

In this paper, we build a new queuing algorithm based on multi-objective linear programming about the ophthalmic hospital sickbeds arrangement. In the new algorithm we divide the traditional queue into four subqueues depending on the different treatment of diseases and following the law of FCFS. We find a random day for reference and count the data of this day, and then we focus on the arrangement of the next day, which means to choose how many patients from each of the four subqueues to be settled into hospital in the next day. Considering the fair principle, the utilization of sickbeds, and the waiting time of the patients, we found an objective function with several constraint conditions to calculate the arrangement of the next day. In order to simplify the constraint conditions, we transfer the length of the queues into the waiting time of patients and finally get the result through programming by Lingo software.

关键词： Queuing theory multi-objective linear programming Subqueues linear weighted average waiting time for hospitalization waiting time for surgery

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On a generalized fuzzy goal optimization for solving fuzzy multi-objective linear programming problems

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2007年第1期18卷 83-97页

作者： Lu, Jie Wu, Fengjie Zhang, Guangquan Univ Technol Sydney Fac Informat Technol Sydney NSW 2007 Australia

Many organizational decision problems can be formulated by multi-objective linear programming (MOLP) models. Referring to the imprecision inherent in human judgments, uncertainty may be incorporated in the parameters of an MOLP model when it is established, which is called a Fuzzy MOLP (FMOLP) problem. What is an optimal solution for an FMOLP problem is the first issue to deal with in this study. The second issue is how to effectively derive an optimal solution for an FMOLP problem since uncertainty is also reflected in a solution process of an FMOLP problem. By introducing three types of comparison of fuzzy numbers and an adjustable satisfactory degree alpha in this study, a new solution concept of FMOLP is given. For handling the second issue, this study develops an interactive fuzzy goal optimization method which provides an interactive fashion with decision makers during their solution process and allows decision makers to give their fuzzy goals in any forms of membership functions. An illustrative example gives the details of the solution concept and the proposed method.

关键词： optimization fuzzy programming multi-objective linear programming interactive decision-making method

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Energy Resource Allocation in Iran: A Fuzzy multi-objective Analysis

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Procedia - Social and Behavioral Sciences 2012年 41卷 334-341页

作者： Aliyeh Kazemi M. Reza Mehregan Hamed Shakouri G. Mahnaz Hosseinzadeh Department of Industrial Management Faculty of Management University of Tehran Tehran Iran Department of Industrial Engineering Faculty of Engineering University of Tehran Tehran Iran

Energy plays a key role in the development of nations and provides vital services and means that improve quality of life. Formulation of an energy model will help in the proper allocation of available energy resources. The objective of this paper is to allocate optimally to each end-use a certain amount of energy to be supplied by a given resource in Iran. In this research, the energy allocation process is looked at from three points of view: policy, economy and environment. In this way, energy demands of end-uses are forecasted using neural networks and fuzzy linear regression methods. The outcomes are used in a fuzzy multi-objective linear programming model, which determines the optimum allocation of energy resources of Iran from 2011 to 2020. The results provide scientific basis for the optimal allocation of energy resources in meeting the future energy demand in Iran.

关键词： energy resources allocation forecasting multi-objective linear programming fuzzy model subsidies lifting greenhouse gas

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Emergy-Based Adjustment of the Agricultural Structure in a Low-Carbon Economy in Manas County of China

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ENERGIES 2011年第9期4卷 1428-1442页

作者： Dong, Xiaobin Zhang, Yufang Cui, Weijia Xun, Bin Yu, Baohua Ulgiati, Sergio Zhang, Xinshi Beijing Normal Univ State Key Lab Earth Surface Proc & Resource Ecol Beijing 100875 Peoples R China Beijing Normal Univ Coll Resources Sci & Technol Beijing 100875 Peoples R China Agrometeorol Ctr Sichuan Prov Chengdu 610072 Peoples R China Beijing Normal Univ Acad Disaster Reduct & Emergency Management Minist Civil Affairs Beijing 100875 Peoples R China Beijing Normal Univ Minist Educ Beijing 100875 Peoples R China Parthenope Univ Naples Dept Environm Sci I-80133 Naples Italy

The emergy concept, integrated with a multi-objective linear programming method, was used to model the agricultural structure of Xinjiang Uygur Autonomous Region under the consideration of the need to develop a low-carbon economy. The emergy indices before and after the structural optimization were evaluated. In the reconstructed model, the proportions of agriculture, forestry and artificial grassland should be adjusted from 19:2:1 to 5.2:1:2.5;the Emergy Yield Ratio (1.48) was higher than the average local (0.49) and national levels (0.27);and the Emergy Investment Ratio (11.1) was higher than the current structure (4.93) and that obtained from the 2003 data (0.055) in Xinjiang Uygur Autonomous Region, the Water Emergy Cost (0.055) should be reduced compared to that before the adjustment (0.088). The measurement of all the parameters validated the positive impact of the modeled agricultural structure. The self-sufficiency ratio of the system increased from the original level of 0.106 to 0.432, which indicated a better coupling effect among the subsystems within the whole system. The comparative advantage index between the two systems before and after optimization was approximately 2:1. When the mountain ecosystem service value was considered, excessive animal husbandry led to a 1.41 x 10(10) RMB.a(-1) indirect economic loss, which was 4.15 times the GDP during the same time period. The functional improvement of the modeled structure supports the plan to "construct a central oasis and protect the surrounding mountains and deserts" to develop a sustainable agricultural system. Conserved natural grassland can make a large contribution to the carbon storage;and therefore, it is wise alternative that promote a low-carbon economic development strategy.

关键词： emergy Manas county multi-objective linear programming agricultural structural adjustment low-carbon economy

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The multi-objective linear programming and Decision Analysis of Residential Real Estate Development

The Multi-objective Linear Programming and Decision Analysis...

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The Second International Conference on Game Theory and Applications (CMGTA’2007)

作者： Xiao-bei Yu,Si-zheng Li,Jia Liu,Da Huo College of Architecture & Civil Engineering,Beijing University of Technology,Beijing,100022

This paper considers the risk estimation of the real estate development from the characters of the real estate and the function analysis of the residential real estate,gives a decision analysis for one certain residential community based on the mathematic model of the multi-objective linear programming and gets the optimum *** gives a valuable reference for the design scheme and allocation,and illustrates systematic generalization of the optimum solution for the residential real estate development decision-making.

关键词： real estate development residential real estate risk multi-objective linear programming decision analysis optimum solution

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A Procurement Model with Material Purchasing Value Analysis in Construction Supply Chain

A Procurement Model with Material Purchasing Value Analysis ...

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23rd Chinese Control and Decision Conference

作者： Gou, Huanhuan Liu, Zhenyuan Li, Zheng Huazhong Univ Sci & Technol Control Sci & Engn Dept Wuhan 430074 Hubei Peoples R China Ertan Hydropower Dev Co Chengdu Sichuan Peoples R China

ISBN: (纸本)9781424487363

As the source of the modern enterprise value chain, purchasing value drives the value updated and added constantly. Based on construction supply chain, the origin of the purchasing value was analyzed from three dimensions which consist of materials value, suppliers value, and social value in this paper. A multi-objective linear programming model was proposed and solved by the fuzzy mathematics. Meanwhile by the application of the model based on the example of EHDC procurement, the distribution result kept with the purchasing intention of the owner. Compared to the traditional purchasing model which was just to control the cost as the core, the order quantities was distributed according to materials value, suppliers value, and social value further in this model.

关键词： multi-objective linear programming purchasing value construction supply chain fuzzy mathematics

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AProcurement Model with Material Purchasing ValueAnalysis in Construction Supply Chain

AProcurement Model with Material Purchasing ValueAnalysis in...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Huanhuan Gou is with the Control Science and Engineering Department,Huazhong University of Science and Technology,Wuhan,China.Zhenyuan Liu,Associate Pro,is with the Control Science and Engineering Department,Huazhong University of Science and Technology,Wuhan,China.Zheng Li is with Ertan Hydropower Development Company,Chengdu,China

As the source of the modern enterprise value chain,purchasing value drives the value updated and added *** on construction supply chain,the origin of the purchasing value was analyzed from three dimensions which consist of materials value,suppliers value,and social value in this paper.A multi-objective linear programming model was proposed and solved by the fuzzy *** by the application of the model based on the example of EHDC procurement,the distribution result kept with the purchasing intention of the *** to the traditional purchasing model which was just to control the cost as the core,the order quantities was distributed according to materials value,suppliers value,and social value further in this model.

关键词： multi-objective linear programming purchasing value construction supply chain fuzzy mathematics

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Applying fuzzy goal programming to project management decisions with multiple goals in uncertain environments

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EXPERT SYSTEMS WITH APPLICATIONS 2010年第12期37卷 8499-8507页

作者： Liang, Tien-Fu Hsiuping Inst Technol Dept Ind Engn & Management Dali City 412 Taichung Taiwan

In real-life situations, the project manager must handle multiple conflicting goals and these conflicting goals are normally fuzzy owing to information is incomplete and unavailable. This study develops a two-phase fuzzy goal programming (FGP) method for solving the project management (PM) decision problems with multiple goals in uncertain environments. The original multi-objective linear programming (MOLP) model designed here attempts to simultaneously minimize total project costs, total completion time and total crashing costs with reference to direct costs, indirect and contractual penalty costs, duration of activities and the constraint of available budget. An industrial case is implemented to demonstrate the feasibility of applying the proposed two-phase FGP method to practical PM decisions. The contribution of this study lies in presenting a fuzzy mathematical programming methodology to fuzzy multi-objective PM decisions, and provides a systematic decision-making framework that facilitates the decision maker to interactively adjust the search direction until the preferred efficient solution is obtained. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Project management multi-objective linear programming Fuzzy sets Fuzzy goal programming

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